The Optimization Analysis for Ride Performance of Track Vehicle Suspension System Parameter

• Main Authors: Chen -Yu Lin, 林振昱
• Other Authors: I-Ping Cheng
• Format: Others
• Language: zh-TW
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/95293871495839736521

碩士 === 中正理工學院 === 兵器系統工程研究所 === 87 === In order to realize the effects of the military track vehicle’s suspension system design parameters to improve the ride performance, different simulation tools must be built so that the correlated subjectives could be evaluated. The purpose of this study is to formulate the corresponding dynamic equations and to establish the computer programs of a track vehicle’s suspension system to simulate a track vehicle’s ride performance. Four design parameters describing suspension system ride performance were analyzed by using the experimental design method. The optimization searching method was implied to find the optimal ride performance and its corresponding design parameters setting combination. There are two parts in the study result, in the first part, each parameter’s effect on a suspension system was analyzed to study the vibration amplitude of each roadwheel and the vehicle mass center in time domain by a half-sine road bump excitation. The calculated results were consistent with the vibration amplitude range of the actual measurements found in the literature. In the next part, there are four design parameters (the sprung mass, suspension mass ratio, suspension stiffness ratio and damping ratio) of a suspension system were used to establish their interaction relationship by the Experimental Design Method (EDM). The response surfaces were built and the optimization schemes were applied to search the best design parameters combination, so that the optimal ride performance could be attained. These results by EDM and optimization analysis compared with original experiment data revealed that the optimized response data were better than any result which was from the original design data. Thus, the method could be used as a reference tool to improve the ride performance of a track vehicle. These results validate that this method is effective in improving the quality of ride performance, reducing the research and development time and saving the cost to design and manufacture new track vehicles.